AI RESEARCH
BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
arXiv CS.LG
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ArXi:2605.29849v1 Announce Type: cross Machine learning (ML) is increasingly used for data-driven modeling of buildings to enable downstream tasks such as fault detection and diagnosis, and energy-efficient control. While recent work improves generalization across building characteristics, weather, and occupancy, generalization also depends on sufficient exploration of the control-driven system state space.